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Slamet Riyadi
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Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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Journal : IT JOURNAL RESEARCH AND DEVELOPMENT

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A Modified DBGE Method for Predicting National Science Olympiad Winners Nasy`an Taufiq Al Ghifari; Luthfi Angger Ramdhani; Slamet Riyadi
IT Journal Research and Development Vol. 10 No. 2 (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2025.21431

Abstract

This study aims to predict the winners of the 2025 National Science Olympiad (OSN) using the Dynamic Bipartite Graph Embedding (DBGE) method. OSN is an annual competition organized by the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia to develop students' potential in various fields of science and social sciences. Predicting OSN winners is important for strategic planning, allocating human resources, and improving the quality of education. This study models data on OSN participants and winners from 2009 to 2024 in the form of a dynamic bipartite graph. The modified DBGE method is used to predict links, with additional logistic regression to predict the relationship between schools and OSN medals. The results show that the modified DBGE method has an accuracy of 84%, precision of 83%, recall of 86%, F1 score of 84%, and AUC of 0.92, which are better than the initial DBGE method. The prediction results show that several schools have a high probability of winning gold medals in various OSN categories. Schools such as SMA Kristen BPK Penabur Gading Serpong, SMAN 8 Jakarta, and SMA Semesta show dominance in several categories. This prediction can help in strategic planning and resource allocation to improve the quality of education in these schools. This study contributes by modifying the existing DBGE method so that there is an increase in accuracy. In addition, researchers added a local dataset taken from real cases to prove that this method can be applied and utilized in real terms. This method is expected to be a tool that helps in strategic planning to improve the quality of school education in various regions, especially in preparing students for future science competitions.
Co-Authors Abdel Aty, Ahmed Abdul Halik Abdul Karim Abdurrahman Afif Achamd Zakaria Adolf Asih Supriyanto Afzeri Afzeri Agung Nugroho Agung Pangestu Ahmad Jaeni Al Azhar Al Kautsar Amin Amelia Dwi Lestari Amru Abdul Wadud Anandio Triartomo ANDRI ASTUTI Anggi Antoni, Rizka Anyan Arbonas Lubis Aulia Rizki Alda BACHTIAR SYAIFUL BACHRI Bagus Riyanto Beauty Anggraheny Ikawanty Bramastia Cahya Trismawan Chintya Anggun Lestari Cindy Chintya Aristarini Dadang Setiyono Danyl Mallisza Deni Kurnia Dewirman Prima Putra Dia Ayu Ningtyas Dian Eriana Nur Hidayah Dina Mayadiana Suwarma Djuma’iyah Dwi Aprilariadi Dyah Vierdiana Edi Sulistio Budi Ekwan Setyo Utomo Ella Dwi Cahyani Erlinda Dwi Puspitasari Esti Sumirat Falah Ramadhan Fattah Alisyahputra Harahap Fausta Ari Barata Fian Triadi Gatot Setyono Giandra Oliver Hadisantoso, Feri Siswoyo Hadma Yuliani Hapijah Hasibuan, Muhammad Syarif Muda Hasugian, Dirja Hendra Sudrajat Hendri Setiawan Heni Elia Wati Hindami, Moh Argy Hariran Ibrahim . Ida Aju Brahma Ratih Ika Devy Pramudiana Ima Widiyanah Imam Muis H Ines Heidiani Ikasari Irawan Iswandi Iswandi Jasiyah, Rabiyatul Jian Haerani Junia Vitaloka, Viola Karina Sekar Rachmadanti Khairul Anhar Leo Anggar Prasetyo Lily Budinurani Lubis, Arbonas Luthfi Angger Ramdhani M. Fatchurahman M. Yogi Riyantama Isjoni Maharani Syabila JR mallisza, Ade Setia Wati mallisza, Danyl Mallisza mallisza, M. Iqbal mallisza, Muhammad Afdil mallisza, Retno Aprilla Hardi mallisza, Robi Arianto mallisza, Viola Aysiah Margarita Maramis, Margarita Margiyono Suyitno Maria Yovita R Pandin Maria Yovita R. Pandin Maulana Abdillah Meor Muhammad Afif Aiman Abu Bakar Miftahul Ifan, Muhamad Mochamad Bagus Setiyawan Moh Farhan Mahendra Mohammad Sihab Ridwan Muhajirah Binti Jamaluddin Muhamad Priyo Budi Purnomo Muhammad Furqon Hidayatullah Muhammad Madjid Wicaksono Muhammad Ramadhan Muhammad Za’imul Haq Muharom Mukhnizar , Muknizar Mulyanto Nugroho Nadine Ramadhanty Nala Hikmatul Machmudah Nanda Pinandita Nasy`an Taufiq Al Ghifari Naufal Dzakwan Hilmy Nazili Nazili Ninik Septyani NOVITA WULANDARI Nur Adilah Nur Adilah Nur'aini Nuradilah Nurhayat Rokhmat Wijaya Nurul Fauziah Ali NURUL HIKMAH Nurul Hikmah Kartini Nur’aini, Dika Ong Andre Wahyu Riyanto, Ong Andre Wahyu Prewati, Puri Handayani Sura Putri Adeyola, Aisyah Reinaldi Teguh Setyawan Restian Gigih Sejati Rifal Efendi Rifdah Indriani Rinaldi Rinaldi Rinovian R Rizki Apriansyah rosma rosma Rosyid Ridlo Al-Hakim Samuji Sariah Sendie Yuliarto Margen Sephia Sephia Setiawan, Antonius Darma Sigit Pratama Siti Aisyah Sri Roekminiati Stephanie Pereira Sulaminingsih Sumiati Surya Syafiqoh Arroji Suryaningrat Suwardi Suwardi Suwardi Suwardi Syahri Ramadona Taufiq Agus Supriyanto Tazkiyatun Nisa Tugas Tri Wahyono W. Indrajit Wahyuniar Widiyatmoko, Widiyatmoko Widyawanti Wati, Nuraifah Yanuar Zulardiansyah Arief Zahra Zahra Zuffy Aslam Zulham Effendi